Extracting Production Rules for Cerebrovascular Examination Dataset through Mining of Non-Anomalous Association Rules

Extracting Production Rules for Cerebrovascular Examination Dataset through Mining of Non-Anomalous Association Rules

Today, patients generate a massive amount of health records through electronic health records (EHRs). Extracting usable knowledge of patients’ pathological conditions or diagnoses is essential for the reasoning process in rule-based systems to support the process of clinical decision makin...

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Bibliographic Details
Main Authors: Chao Ou-Yang, Chandrawati Putri Wulandari, Mohammad Iqbal, Han-Cheng Wang, Chiehfeng Chen
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Applied Sciences
Subjects:
production rule system
non-redundant association rules
rule-based system
knowledge-based systems
non-anomalous rules
Online Access:https://www.mdpi.com/2076-3417/9/22/4962

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https://www.mdpi.com/2076-3417/9/22/4962

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